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Conference Paper/Proceeding/Abstract 708 views

Semi-automated annotation of signal events in clinical EEG data

Scott Yang Orcid Logo, S. Lopez, M. Golmohammadi, I. Obeid, J. Picone

2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)

Swansea University Author: Scott Yang Orcid Logo

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DOI (Published version): 10.1109/spmb.2016.7846855

Published in: 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
Published: IEEE 2017
URI: https://cronfa.swan.ac.uk/Record/cronfa58946
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first_indexed 2021-12-07T09:59:15Z
last_indexed 2021-12-21T04:27:19Z
id cronfa58946
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spelling 2021-12-20T12:16:32.8084763 v2 58946 2021-12-07 Semi-automated annotation of signal events in clinical EEG data 81dc663ca0e68c60908d35b1d2ec3a9b 0000-0002-6618-7483 Scott Yang Scott Yang true false 2021-12-07 SCS Conference Paper/Proceeding/Abstract 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) IEEE 9 2 2017 2017-02-09 10.1109/spmb.2016.7846855 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2021-12-20T12:16:32.8084763 2021-12-07T09:58:53.5002195 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Scott Yang 0000-0002-6618-7483 1 S. Lopez 2 M. Golmohammadi 3 I. Obeid 4 J. Picone 5
title Semi-automated annotation of signal events in clinical EEG data
spellingShingle Semi-automated annotation of signal events in clinical EEG data
Scott Yang
title_short Semi-automated annotation of signal events in clinical EEG data
title_full Semi-automated annotation of signal events in clinical EEG data
title_fullStr Semi-automated annotation of signal events in clinical EEG data
title_full_unstemmed Semi-automated annotation of signal events in clinical EEG data
title_sort Semi-automated annotation of signal events in clinical EEG data
author_id_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b
author_id_fullname_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b_***_Scott Yang
author Scott Yang
author2 Scott Yang
S. Lopez
M. Golmohammadi
I. Obeid
J. Picone
format Conference Paper/Proceeding/Abstract
container_title 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
publishDate 2017
institution Swansea University
doi_str_mv 10.1109/spmb.2016.7846855
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2017-02-09T04:15:52Z
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score 11.035634

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